The graph represents a network of 21,052 Twitter users whose recent tweets contained "#covid19 OR #covid-19 OR #covidー19 geocode:54.922332,-2.471436,800km", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Friday, 10 April 2020 at 10:48 UTC.
The tweets in the network were tweeted over the 1-hour, 4-minute period from Friday, 10 April 2020 at 08:51 UTC to Friday, 10 April 2020 at 09:55 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
The graph is directed.
The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Author Description
Vertices : 21052
Unique Edges : 24259
Edges With Duplicates : 1983
Total Edges : 26242
Self-Loops : 3824
Reciprocated Vertex Pair Ratio : 0.00202261653029328
Reciprocated Edge Ratio : 0.00403706762088265
Connected Components : 3458
Single-Vertex Connected Components : 1431
Maximum Vertices in a Connected Component : 9777
Maximum Edges in a Connected Component : 14411
Maximum Geodesic Distance (Diameter) : 25
Average Geodesic Distance : 6.891812
Graph Density : 4.91870249908267E-05
Modularity : 0.839881
NodeXL Version : 1.0.1.429
Graph Gallery URL : https://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=224741
Data Import : The graph represents a network of 21,052 Twitter users whose recent tweets contained "#covid19 OR #covid-19 OR #covidー19 geocode:54.922332,-2.471436,800km", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Friday, 10 April 2020 at 10:48 UTC.
The tweets in the network were tweeted over the 1-hour, 4-minute period from Friday, 10 April 2020 at 08:51 UTC to Friday, 10 April 2020 at 09:55 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch
Graph Term : #covid19 OR #covid-19 OR #covidー19 geocode:54.922332,-2.471436,800km
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Edge Color : Edge Weight
Edge Width : Edge Weight
Edge Alpha : Edge Weight
Vertex Radius : Followers
Vertex Alpha : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[8705] covid,19 [1946] family,friends [1852] safe,covid [1848] extend,pkp [1848] pkp,issue [1848] issue,pun [1848] pun,okay [1848] okay,yang [1848] yang,penting [1848] penting,family Top Word Pairs in Tweet in G1:
[1840] extend,pkp [1840] pkp,issue [1840] issue,pun [1840] pun,okay [1840] okay,yang [1840] yang,penting [1840] penting,family [1840] family,friends [1840] friends,everyone [1840] everyone,safe Top Word Pairs in Tweet in G2:
[632] covid,19 [450] home,office [180] office,call [174] herd,immunity [167] leaked,home [146] call,reveals [125] care,homes [122] fight,against [116] leaked,recordings [116] recordings,home Top Word Pairs in Tweet in G3:
[544] covid,19 [46] during,covid [45] stay,home [44] spread,#covid19 [40] help,slow [40] slow,spread [40] #covid19,identify [40] identify,risk [40] risk,cases [40] cases,sooner Top Word Pairs in Tweet in G4:
[335] covid,19 [134] bbcnickrobinson,bbcr4today [124] don,t [124] frontline,workers [121] workers,nurses [121] care,workers [120] t,wish [120] wish,decry [120] decry,efforts [120] efforts,show Top Word Pairs in Tweet in G5:
[659] covid,19 [644] os,cuento [644] cuento,decisiones [644] decisiones,universidad [644] universidad,actual [644] actual,u [644] u,kent [644] kent,canterbury [644] canterbury,uk [644] uk,respecto Top Word Pairs in Tweet in G6:
[497] intensive,care [497] care,unit [497] #coronavirus,patients [497] sky,news' [497] news',alexrossisky [497] alexrossisky,reports [488] read,more [488] more,here [487] inside,spanish [487] spanish,#covid19 Top Word Pairs in Tweet in G7:
[196] covid,19 [179] boris,johnson [167] 7,978 [166] #covid19,death [166] death,toll [166] toll,uk [166] uk,7 [166] 978,nz [166] nz,1 [166] 1,typo Top Word Pairs in Tweet in G8:
[600] stay,apart [167] save,lives [152] lives,keep [151] social,distancing [150] good,way [150] way,show [150] show,importance [150] importance,social [150] distancing,video [150] video,ohio Top Word Pairs in Tweet in G9:
[76] covid,19 [30] e,learning [28] don,t [26] coronavirus,#covid19 [21] healthcare,professionals [20] learning,programme [19] new,content [19] put,lives [19] family,members [19] members,risk Top Word Pairs in Tweet in G10:
[264] language,heroism [264] heroism,self [264] self,sacrifice [264] sacrifice,around [264] around,healthcare [264] healthcare,workers [264] workers,died [264] died,#covid19 [264] #covid19,helpful [264] helpful,shifts Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: